LoadMaster Configuration

Once the virtual machine has been provisioned, open a web browser and navigate to the VM’s internal IP address on port 8443 to accept the licensing terms.

Next, log in with your Kemp ID and password to finish licensing the appliance.

Finally, log in to the appliance using the username ‘bal’ and the password provided when the virtual machine was configured.

Azure Network Security Group

A Network Security Group (NSG) is automatically configured and associated with the LoadMaster’s network interface when the appliance is created. Additional inbound security rules must be added to allow VPN client connectivity.

In the Azure management console open the properties for the LoadMaster NSG and follow the steps below to configure security rules to allow inbound VPN protocols.

SSTP

1. Click Inbound security rules.
2. Click Add.
3. Choose Any from the Source drop-down list.
4. Enter * in the Source port ranges field.
5. Select Any from the Destination drop-down list.
6. Enter 443 in the Destination port ranges field.
7. Select the TCP protocol.
8. Select the Allow action.
9. Enter a value in the Priority field.
10. Enter a name for the service in the Name field.
11. Click Add.

IKEv2

1. Click Inbound security rules.
2. Click Add.
3. Choose Any from the Source drop-down list.
4. Enter * in the Source port ranges field.
5. Select Any from the Destination drop-down list.
6. Enter 500 in the Destination port ranges field.
7. Select the UDP protocol.
8. Select the Allow action.
9. Enter a value in the Priority field.
10. Enter a name for the service in the Name field.
11. Click Add.
12. Repeat the steps below for UDP port 4500.

Load Balancing SSTP and IKEv2

Refer to the following posts for detailed, prescriptive guidance for configuring the Kemp LoadMaster load balancer for Always On VPN load balancing.

Summary

Although Windows Server RRAS is not a formally supported workload in Azure, it is still a popular and effective solution for Always On VPN deployments. The Kemp LoadMaster load balancer can be deployed quickly and easily to provide redundancy and increase scalability for larger deployments.